Curtis P. Langlotz

Publication Activity (10 Years)

Years Active: 1983-2024
Publications (10 Years): 71

Top Topics

Visual Representation

Medical Imaging

Convolutional Neural Network

Top Venues

J. Digit. Imaging

npj Digit. Medicine

J. Am. Medical Informatics Assoc.

Publications

Zhihong Chen, Maya Varma, Jean-Benoit Delbrouck, Magdalini Paschali, Louis Blankemeier, Dave Van Veen, Jeya Maria Jose Valanarasu, Alaa Youssef, Joseph Paul Cohen, Eduardo Pontes Reis, Emily Bao Tsai, Andrew Johnston, Cameron Olsen, Tanishq Mathew Abraham, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. CoRR (2024)
Feiyang Yu, Mark Endo, Rayan Krishnan, Ian Pan, Andy Tsai, Eduardo Pontes Reis, Eduardo Kaiser Ururahy Nunes Fonseca, Henrique Min Ho Lee, Zahra Shakeri Hossein Abad, Andrew Y. Ng, Curtis P. Langlotz, Vasantha Kumar Venugopal, Pranav Rajpurkar
Evaluating progress in automatic chest X-ray radiology report generation. Patterns 4 (9) (2023)
Dave Van Veen, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, William Collins, Neera Ahuja, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, John M. Pauly, Akshay S. Chaudhari
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts. CoRR (2023)
Zhihong Chen, Maya Varma, Xiang Wan, Curtis P. Langlotz, Jean-Benoit Delbrouck
Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities. ACL (2) (2023)
Juanma Zambrano Chaves, Nandita Bhaskhar, Maayane Attias, Jean-Benoit Delbrouck, Daniel L. Rubin, Andreas M. Loening, Curtis P. Langlotz, Akshay Chaudhari
RaLEs: a Benchmark for Radiology Language Evaluations. NeurIPS (2023)
Maya Varma, Jean-Benoit Delbrouck, Sarah M. Hooper, Akshay Chaudhari, Curtis P. Langlotz
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data. ICCV (2023)
Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz, Serena Yeung, Nigam H. Shah, Jason A. Fries
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis. CoRR (2023)
Dave Van Veen, Cara Van Uden, Maayane Attias, Anuj Pareek, Christian Bluethgen, Malgorzata Polacin, Wah Chiu, Jean-Benoit Delbrouck, Juan Manuel Zambrano Chaves, Curtis P. Langlotz, Akshay S. Chaudhari, John M. Pauly
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models. CoRR (2023)
Maya Varma, Jean-Benoit Delbrouck, Sarah M. Hooper, Akshay Chaudhari, Curtis P. Langlotz
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data. CoRR (2023)
Rogier van der Sluijs, Nandita Bhaskhar, Daniel L. Rubin, Curtis P. Langlotz, Akshay S. Chaudhari
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays. MIDL (2023)
Dave Van Veen, Cara Van Uden, Maayane Attias, Anuj Pareek, Christian Bluethgen, Malgorzata Polacin, Wah Chiu, Jean-Benoit Delbrouck, Juan Manuel Zambrano Chaves, Curtis P. Langlotz, Akshay Chaudhari, John M. Pauly
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models. BioNLP@ACL (2023)
Jean-Benoit Delbrouck, Maya Varma, Pierre J. Chambon, Curtis P. Langlotz
Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization. BioNLP@ACL (2023)
Rohan Shad, Cyril Zakka, Dhamanpreet Kaur, Robyn Fong, Ross Warren Filice, John Mongan, Kimberly Kallianos, Nishith Khandwala, David Eng, Matthew Leipzig, Walter Witschey, Alejandro de Feria, Victor Ferrari, Euan A. Ashley, Michael A. Acker, Curtis P. Langlotz, William Hiesinger
A Generalizable Deep Learning System for Cardiac MRI. CoRR (2023)
Sarah M. Hooper, Mayee F. Chen, Khaled Saab, Kush Bhatia, Curtis P. Langlotz, Christopher Ré
A case for reframing automated medical image classification as segmentation. NeurIPS (2023)
Cara Van Uden, Jeremy Irvin, Mars Huang, Nathan Dean, Jason Carr, Andrew Y. Ng, Curtis P. Langlotz
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems. CoRR (2023)
Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR (2023)
Pierre J. Chambon, Tessa Sundaram Cook, Curtis P. Langlotz
Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports. J. Digit. Imaging 36 (1) (2023)
Pierre J. Chambon, Christopher Wu, Jackson M. Steinkamp, Jason Adleberg, Tessa Sundaram Cook, Curtis P. Langlotz
Automated deidentification of radiology reports combining transformer and "hide in plain sight" rule-based methods. J. Am. Medical Informatics Assoc. 30 (2) (2023)
Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Curtis P. Langlotz, Matthew P. Lungren, Serena Yeung, Nigam Shah, Jason Alan Fries
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms. NeurIPS (2023)
Rogier van der Sluijs, Nandita Bhaskhar, Daniel L. Rubin, Curtis P. Langlotz, Akshay Chaudhari
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays. CoRR (2023)
Cara Van Uden, Christian Bluethgen, Maayane Attias, Malgorzata Polacin, Haiwei Henry Guo, Neha Simha, Rishi Raj, Curtis P. Langlotz
Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification. CoRR (2023)
Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D. Manning, Curtis P. Langlotz
Contrastive Learning of Medical Visual Representations from Paired Images and Text. MLHC (2022)
Jean-Benoit Delbrouck, Pierre J. Chambon, Christian Bluethgen, Emily Bao Tsai, Omar Almusa, Curtis P. Langlotz
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards. EMNLP (Findings) (2022)
Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis P. Langlotz
ViLMedic: a framework for research at the intersection of vision and language in medical AI. ACL (demo) (2022)
Pierre Chambon, Christian Bluethgen, Jean-Benoit Delbrouck, Rogier van der Sluijs, Malgorzata Polacin, Juan Manuel Zambrano Chaves, Tanishq Mathew Abraham, Shivanshu Purohit, Curtis P. Langlotz, Akshay Chaudhari
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation. CoRR (2022)
Jean-Benoit Delbrouck, Maya Varma, Curtis P. Langlotz
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities. CoRR (2022)
Curtis P. Langlotz, Thomas Wang, Tina Hernandez-Boussard, Irene Dankwa-Mullan
Implications of Data As a Public Good: Charting a Path Toward Diagnostic Excellence. AMIA (2022)
Jean-Benoit Delbrouck, Pierre Chambon, Christian Bluethgen, Emily Bao Tsai, Omar Almusa, Curtis P. Langlotz
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards. CoRR (2022)
Pierre Chambon, Christian Bluethgen, Curtis P. Langlotz, Akshay Chaudhari
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains. CoRR (2022)
Rohan Shad, Nicolas Quach, Robyn Fong, Patpilai Kasinpila, Cayley Bowles, Kate M. Callon, Michelle C. Li, Jeffrey J. Teuteberg, John P. Cunningham, Curtis P. Langlotz, William Hiesinger
Simulating time to event prediction with spatiotemporal echocardiography deep learning. CoRR (2021)
Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Q. H. Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports. CoRR (2021)
Asma Ben Abacha, Yassine Mrabet, Yuhao Zhang, Chaitanya Shivade, Curtis P. Langlotz, Dina Demner-Fushman
Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain. BioNLP@NAACL-HLT (2021)
Yasuhide Miura, Yuhao Zhang, Emily Bao Tsai, Curtis P. Langlotz, Dan Jurafsky
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. NAACL-HLT (2021)
Rohan Shad, John P. Cunningham, Euan A. Ashley, Curtis P. Langlotz, William Hiesinger
Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging. Nat. Mach. Intell. 3 (11) (2021)
Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Q. H. Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports. NeurIPS Datasets and Benchmarks (2021)
Rohan Shad, John P. Cunningham, Euan A. Ashley, Curtis P. Langlotz, William Hiesinger
Medical Imaging and Machine Learning. CoRR (2021)
Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz
Biomedical and clinical English model packages for the Stanza Python NLP library. J. Am. Medical Informatics Assoc. 28 (9) (2021)
Rohan Shad, Nicolas Quach, Robyn Fong, Patpilai Kasinpila, Cayley Bowles, Miguel Castro, Ashrith Guha, Eddie Suarez, Stefan Jovinge, Sangjin Lee, Theodore Boeve, Myriam Amsallem, Xiu Tang, Francois Haddad, Yasuhiro Shudo, Y. Joseph Woo, Jeffrey J. Teuteberg, John P. Cunningham, Curtis P. Langlotz, William Hiesinger
Predicting post-operative right ventricular failure using video-based deep learning. CoRR (2021)
David Eng, Chris Chute, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Sam Shleifer, Mohamed H. Khalaf, Alexander T. Sandhu, Fátima Rodriguez, David J. Maron, Saeed Seyyedi, Daniele Marin, Ilana Golub, Matthew J. Budoff, Felipe Kitamura, Marcelo Straus Takahashi, Ross W. Filice, Rajesh Shah, John Mongan, Kimberly Kallianos, Curtis P. Langlotz, Matthew P. Lungren, Andrew Y. Ng, Bhavik N. Patel
Automated coronary calcium scoring using deep learning with multicenter external validation. npj Digit. Medicine 4 (2021)
Sarah M. Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis P. Langlotz, Christopher Ré
Cut out the annotator, keep the cutout: better segmentation with weak supervision. ICLR (2021)
Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D. Manning, Curtis P. Langlotz
Contrastive Learning of Medical Visual Representations from Paired Images and Text. CoRR (2020)
Yasuhide Miura, Yuhao Zhang, Curtis P. Langlotz, Dan Jurafsky
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. CoRR (2020)
David Ouyang, Bryan He, Amirata Ghorbani, Neal Yuan, Joseph Ebinger, Curtis P. Langlotz, Paul A. Heidenreich, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou
Video-based AI for beat-to-beat assessment of cardiac function. Nat. 580 (7802) (2020)
Amirhossein Kiani, Bora Uyumazturk, Pranav Rajpurkar, Alex Wang, Rebecca Gao, Erik Jones, Yifan Yu, Curtis P. Langlotz, Robyn L. Ball, Thomas J. Montine, Brock A. Martin, Gerald J. Berry, Michael G. Ozawa, Florette K. Hazard, Ryanne A. Brown, Simon B. Chen, Mona Wood, Libby S. Allard, Lourdes Ylagan, Andrew Y. Ng, Jeanne Shen
Impact of a deep learning assistant on the histopathologic classification of liver cancer. npj Digit. Medicine 3 (2020)
Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz
Biomedical and Clinical English Model Packages in the Stanza Python NLP Library. CoRR (2020)
Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D. Manning, Curtis P. Langlotz
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports. ACL (2020)
Saeed Seyyedi, Margaret J. Wong, Debra M. Ikeda, Curtis P. Langlotz
SCREENet: A Multi-view Deep Convolutional Neural Network for Classification of High-resolution Synthetic Mammographic Screening Scans. CoRR (2020)
Kristine Arges, Themistocles Assimes, Vikram Bajaj, Suresh Balu, Mustafa R. Bashir, Laura Beskow, Rosalia Blanco, Robert Califf, Paul Campbell, Larry Carin, Victoria Christian, Scott Cousins, Millie Das, Marie Dockery, Pamela S. Douglas, Ashley Dunham, Julie Eckstrand, Dominik Fleischmann, Emily Ford, Elizabeth Fraulo, John French, Sanjiv S. Gambhir, Geoffrey S. Ginsburg, Robert C. Green, Francois Haddad, Adrian Hernandez, John Hernandez, Erich S. Huang, Glenn Jaffe, Daniel King, Lynne H. Koweek, Curtis P. Langlotz, Yaping J. Liao, Kenneth W. Mahaffey, Kelly Marcom, William J. Marks, David Maron, Reid McCabe, Shannon McCall, Rebecca McCue, Jessica Mega, David Miller, Lawrence H. Muhlbaier, Rajan Munshi, L. Kristin Newby, Ezra Pak-Harvey, Bray Patrick-Lake, Michael Pencina, Eric D. Peterson, Fatima Rodriguez, Scarlet Shore, Svati Shah, Steven Shipes, George Sledge, Susie Spielman, Ryan Spitler, Terry Schaack, Geeta Swamy, Martin J. Willemink, Charlene A. Wong
The Project Baseline Health Study: a step towards a broader mission to map human health. npj Digit. Medicine 3 (2020)
Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D. Manning, Curtis P. Langlotz
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports. CoRR (2019)
Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han
Cross-type biomedical named entity recognition with deep multi-task learning. Bioinform. 35 (10) (2019)
Bhavik N. Patel, Louis Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin, Pranav Rajpurkar, Timothy Amrhein, Rajan Gupta, Safwan Halabi, Curtis P. Langlotz, Edward Lo, Joseph Mammarappallil, A. J. Mariano, Geoffrey Riley, Jayne Seekins, Luyao Shen, Evan Zucker, Matthew P. Lungren
Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digit. Medicine 2 (2019)
Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Andreas M. Loening, Jeanne Shen, James D. Brooks, Curtis P. Langlotz, Daniel L. Rubin
Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis. CoRR (2019)
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. AAAI (2019)
Bhavik N. Patel, Louis Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin, Pranav Rajpurkar, Timothy Amrhein, Rajan Gupta, Safwan Halabi, Curtis P. Langlotz, Edward Lo, Joseph Mammarappallil, A. J. Mariano, Geoffrey Riley, Jayne Seekins, Luyao Shen, Evan Zucker, Matthew P. Lungren
Human-machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digit. Medicine 2 (2019)
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. CoRR (2019)
Imon Banerjee, Yuan Ling, Matthew C. Chen, Sadid A. Hasan, Curtis P. Langlotz, Nathaniel Moradzadeh, Brian E. Chapman, Timothy Amrhein, David A. Mong, Daniel L. Rubin, Oladimeji Farri, Matthew P. Lungren
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. Artif. Intell. Medicine 97 (2019)
Bethany Percha, Yuhao Zhang, Selen Bozkurt, Daniel L. Rubin, Russ B. Altman, Curtis P. Langlotz
Expanding a radiology lexicon using contextual patterns in radiology reports. J. Am. Medical Informatics Assoc. 25 (6) (2018)
Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, Curtis P. Langlotz
Learning to Summarize Radiology Findings. Louhi@EMNLP (2018)
Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, Curtis P. Langlotz
Learning to Summarize Radiology Findings. CoRR (2018)
Daniel J. Vreeman, Swapna Abhyankar, Kenneth C. Wang, Chris Carr, Beverly Collins, Daniel L. Rubin, Curtis P. Langlotz
The LOINC RSNA radiology playbook - a unified terminology for radiology procedures. J. Am. Medical Informatics Assoc. 25 (7) (2018)
Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning. CoRR (2018)
Hannu T. Huhdanpaa, W. Katherine Tan, Sean D. Rundell, Pradeep Suri, Falgun H. Chokshi, Bryan A. Comstock, Patrick J. Heagerty, Kathryn T. James, Andrew L. Avins, Srdjan S. Nedeljkovic, David R. Nerenz, David F. Kallmes, Patrick H. Luetmer, Karen J. Sherman, Nancy L. Organ, Brent Griffith, Curtis P. Langlotz, David Carrell, Saeed Hassanpour, Jeffrey G. Jarvik
Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes. J. Digit. Imaging 31 (1) (2018)
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Yi Ding, Aarti Bagul, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. CoRR (2017)
Saeed Hassanpour, Graham Bay, Curtis P. Langlotz
Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing. J. Digit. Imaging 30 (3) (2017)
Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Yi Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs. CoRR (2017)
Daniel J. Vreeman, Ken Wang, Chris Carr, Beverly Collins, Swapna Abhyankar, Jamalynne Deckard, Clement J. McDonald, Daniel L. Rubin, Curtis P. Langlotz
The LOINC/RSNA Radiology Playbook: A unified terminology for radiology procedures. AMIA (2017)
Bao H. Do, Curtis P. Langlotz, Christopher F. Beaulieu
Bone Tumor Diagnosis Using a Naïve Bayesian Model of Demographic and Radiographic Features. J. Digit. Imaging 30 (5) (2017)
Saeed Hassanpour, Curtis P. Langlotz
Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository. J. Digit. Imaging 29 (1) (2016)
Alexa T. McCray, John P. Glaser, Ross Koppel, Curtis P. Langlotz, Jonathan C. Silverstein
Health IT vendors and the academic community: The 2014 ACMI debate. J. Biomed. Informatics 60 (2016)
Saeed Hassanpour, Curtis P. Langlotz
Information extraction from multi-institutional radiology reports. Artif. Intell. Medicine 66 (2016)
Charles E. Kahn Jr., Brad W. Genereaux, Curtis P. Langlotz
Conversion of Radiology Reporting Templates to the MRRT Standard. J. Digit. Imaging 28 (5) (2015)
Shengyang Wu, Curtis P. Langlotz, Paras Lakhani, Lyle H. Ungar
Extracting templates from radiology reports using sequence alignment. Int. J. Data Min. Bioinform. 6 (6) (2012)
Paras Lakhani, Woojin Kim, Curtis P. Langlotz
Automated Detection of Critical Results in Radiology Reports. J. Digit. Imaging 25 (1) (2012)
Paras Lakhani, Curtis P. Langlotz
Automated Detection of Radiology Reports that Document Non-routine Communication of Critical or Significant Results. J. Digit. Imaging 23 (6) (2010)
William W. Boonn, Curtis P. Langlotz
Radiologist Use of and Perceived Need for Patient Data Access. J. Digit. Imaging 22 (4) (2009)
John M. Paulett, Curtis P. Langlotz
Improving language models for radiology speech recognition. J. Biomed. Informatics 42 (1) (2009)
Curtis P. Langlotz
From the Chair: The Top 10 Myths About Imaging Informatics Certification (January 2008-SIIM News). J. Digit. Imaging 21 (1) (2008)
Paras Lakhani, Elliot D. Menschik, Alberto F. Goldszal, Joseph P. Murray, Mark G. Weiner, Curtis P. Langlotz
Development and Validation of Queries Using Structured Query Language (SQL) to Determine the Utilization of Comparison Imaging in Radiology Reports Stored on PACS. J. Digit. Imaging 19 (1) (2006)
Regina O. Redfern, Curtis P. Langlotz, Stephanie Abbuhl, M. Polansky, Steven C. Horii, Harold L. Kundel
The Effect of PACS on the Time Required for Technologists to Produce Radiographic Images in the Emergency Department Radiology Suite. J. Digit. Imaging 15 (3) (2002)
Curtis P. Langlotz, L. Meininger
Enhancing the expressiveness and usability of structured image reporting systems. AMIA (2000)
Curtis P. Langlotz, Orit Even-Shoshan, Sridhar S. Seshadri, Inna Brikman, Sheel Kishore, Harold L. Kundel, J. Sanford Schwartz
A methodology for the economic assessment of picture archiving and communication systems. J. Digit. Imaging 8 (2) (1995)
Curtis P. Langlotz, Edward H. Shortliffe
Logic and Decision-Theoretic Methods for Planning under Uncertainty. AI Mag. 10 (1) (1989)
Curtis P. Langlotz, Edward H. Shortliffe, Lawrence M. Fagan
Using Decision Theory to Justify Heuristics. AAAI (1986)
Eric Horvitz, David Heckerman, Curtis P. Langlotz
A Framework for Comparing Alternative Formalisms for Plausible Reasoning. AAAI (1986)
Curtis P. Langlotz, Lawrence M. Fagan, Samson W. Tu, John Williams, Branimir Sikic
ONYX: An Architecture for Planning in Uncertain Environments. IJCAI (1985)
Curtis P. Langlotz, Edward H. Shortliffe
Adapting a Consultation System to Critique User Plans. Int. J. Man Mach. Stud. 19 (5) (1983)